Robust mixed one-bit compressive sensing

Huang X, Yang H, Huang Y, Shi L, He F, Maier A, Yan M (2019)

Publication Type: Journal article

Publication year: 2019


Book Volume: 162

Pages Range: 161-168

DOI: 10.1016/j.sigpro.2019.04.011


When a measurement falls outside the quantization or measurable range, it becomes saturated and cannot be used in conventional signal recovery methods. Aiming at acquiring information from noisy saturated and regular measurements, we in this paper propose a new signal recovery method called mixed one-bit compressive sensing (M1bit-CS) and develop an efficient algorithm in the framework of alternating direction methods of multipliers. Numerical experiments on one-dimensional symmetric signals and two-dimensional image reconstruction from computed tomography verify the effectiveness of M1bit-CS on signal recovery from saturated measurements.

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Huang, X., Yang, H., Huang, Y., Shi, L., He, F., Maier, A., & Yan, M. (2019). Robust mixed one-bit compressive sensing. Signal Processing, 162, 161-168.


Huang, Xiaolin, et al. "Robust mixed one-bit compressive sensing." Signal Processing 162 (2019): 161-168.

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